netneurotools.metrics.network_variance_numba

netneurotools.metrics.network_variance_numba(vec, D)[source]

Numba version of netneurotools.stats.network_variance().

Network variance is a measure of variance taken into account the network structure.

Warning

Test before use.

Parameters:
  • vec ((N,) array_like) – Input vector. Must be all positive. Will be normalized internally as a probability distribution.

  • D ((N, N) array_like) – Distance matrix.

Returns:

network_variance – Network variance of vec on D

Return type:

float